Δέσποινα Περρέα

3.9k citations
126 papers · 2.8k indexed · h-index 29

Δέσποινα Περρέα

123 papers receiving 2.7k citations

Peers

Δέσποινα Περρέα
Comparison fields: 5 of 145
  • Endocrinology, Diabetes and Metabolism 502
  • Physiology 593
  • Developmental Neuroscience 92
  • Endocrine and Autonomic Systems 149
  • Cardiology and Cardiovascular Medicine 494
Replace Subrina Jesmin with:
Subrina Jesmin Japan
Eliete Bouskela Brazil
François Feihl Switzerland
Faisel Khan United Kingdom
Yun Wang China
Takayuki Noguchi Japan
Per M. Humpert Germany
Teresa Arrigo Italy
Masanobu Kawakami Japan
Sheng Wang China
Δέσποινα Περρέα relative to Subrina Jesmin Japan Subrina Jesmin's profile →
Citations per field
00.5×1.5×2.0×
Subrina Jesmin · 1×
Citations per year

Countries citing papers authored by Δέσποινα Περρέα

Since Specialization
Citations

This map shows the geographic impact of Δέσποινα Περρέα's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Δέσποινα Περρέα with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Δέσποινα Περρέα more than expected).

Fields of papers citing papers by Δέσποινα Περρέα

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Δέσποινα Περρέα. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Δέσποινα Περρέα. The network helps show where Δέσποινα Περρέα may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Δέσποινα Περρέα, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Δέσποινα Περρέα Line = papers co-authored together Δέσποινα Περρέα links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20234
4 20233
5 20220
6 20211
7 20196
8 20185
9 20185
10 201621
11 201611
12 201313
13 201210
14 20112
15 201030
16 201049
17 20081
18 200819
19 20083
20 20058

About Δέσποινα Περρέα

Δέσποινα Περρέα is a scholar working on Developmental Neuroscience, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 126 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diet and metabolism studies (15 papers), Cardiovascular Health and Disease Prevention (12 papers), Bone Metabolism and Diseases (9 papers), Regulation of Appetite and Obesity (8 papers), Bone health and osteoporosis research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Bone health and treatments (6 papers) and Apelin-related biomedical research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (502 citations), Physiology (593 citations) and Developmental Neuroscience (92 citations). Δέσποινα Περρέα has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Nikolaοs Tentolouris, Nicholas Katsilambros, Alexander Kokkinos, Athanasia Papazafiropoulou, Despoina Kyriaki, Ioannis S. Vlachos, Theodoros Xanthos, Stavros Liatis, Ioanna Vasileiou and Chris Klonaris. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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